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Results for “GPT-3” · papers 2 · wiki 1
Academic Papers · 2arXiv q-fin live 2 · desk corpus 1
arXiv · arXiv q-fin · 2024

Sentiment trading with large language models

We investigate the efficacy of large language models (LLMs) in sentiment analysis of U.S. financial news and their potential in predicting stock market returns. We analyze a dataset comprising 965,375 news articles that span from January 1, 2010, to June 30, 2023; we focus on the performance of various LLMs, including BERT, OPT, FINBERT, and the traditional Loughran-McDonald dictionary model, which has been a dominan…

Kemal Kirtac, Guido Germano
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arXiv · arXiv q-fin · 2024

Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models

Predicting financial markets and stock price movements requires analyzing a company's performance, historic price movements, industry-specific events alongside the influence of human factors such as social media and press coverage. We assume that financial reports (such as income statements, balance sheets, and cash flow statements), historical price data, and recent news articles can collectively represent aforement…

Ali Elahi, Fatemeh Taghvaei
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Wiki Entities · 1
AI Systems

In-Context Learning

In-context learning is when a frozen language model improves at a task from examples placed in the prompt, without weight updates.

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